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AI Solutions Engineer, Architect
Location
New York
Posted
62 days ago
Salary
0
Seniority
Senior
Job Description
AI Solutions Engineer, Architect
Career Hire5
• Architect and build the agentic orchestration layer on top of Microsoft 365, designed to be LLM-agnostic from the start • Set up and configure Azure infrastructure (resource groups, Entra ID app registration, Azure AI Search, storage) • Integrate the Claude API with a locked system prompt; implement interaction logging so all 25 users contribute to a shared organisational knowledge base • Connect Word and Outlook via Microsoft Graph in Phase 1; expand to PowerPoint, Teams, SharePoint, and Excel in Phase 3 • Build branded document output templates (logo, colour palette, formatting) that lock in on all AI-generated exports • Implement role-based permissions, search guardrails, and an admin control panel • Provide regular project check-ins with the co-founder (1–2 hour daily overlap window) • Advise on scope and timeline — if something needs more time, say so early
Job Requirements
- 3+ years of experience building on Microsoft Azure — resource provisioning, Entra ID / Azure AD, app registrations, security policies
- Hands-on experience with the Microsoft Graph API for M365 integrations (Word, Outlook, SharePoint, Teams)
- Experience integrating LLM APIs (Claude, OpenAI, or similar) into production systems, including prompt design and governance
- Familiarity with RAG pipelines and vector/AI search (Azure AI Search or equivalent)
- Ability to design model-agnostic orchestration architectures that can swap underlying LLMs without rebuilding the stack
- Experience with interaction logging, knowledge base construction, and indexing pipelines
- Independence: comfortable owning a greenfield project with limited internal technical support on the client side
- Communication: fluent English, proactive with updates, clear when scoping risks arise
- Accountability: you set the expectations, you deliver on them
Benefits
- Remote contract role — work from anywhere with a reliable connection
- Flexible hours with a 1–2 hour daily overlap window for project check-ins (no fixed timezone required)
- Hourly rate, with scope to extend beyond the initial 3-month engagement if the project grows
- Direct access to the co-founder — no layers of management, fast decisions
- A genuinely interesting technical problem: greenfield AI infrastructure on M365 for a firm with real institutional data to work with
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